[3 Days from April 8] How Should AI Infrastructure Be Built? NVIDIA Partners Reveal Latest Configurations and Implementation Examples from Edge to Data Center
RX Japan will host an open seminar titled 'Latest Technology Sessions by NVIDIA Partners' at Japan IT Week Spring 2026 from April 8-10. Partners like ASUS and MSI will explain comprehensive AI infrastructure strategies.
📋 Article Processing Timeline
- 📰 Published: March 31, 2026 at 00:00
- 🔍 Collected: March 30, 2026 at 22:56
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RX Japan Ltd. (Headquarters: Chuo-ku, Tokyo; President and CEO: Takeshi Tanaka) will hold an open seminar titled "Latest Technology Sessions by NVIDIA Partners," featuring NVIDIA partner companies, at "Japan IT Week [Spring] 2026" held at Tokyo Big Sight from April 8 (Wednesday) to 10 (Friday), 2026.
Background: Entering an Era Where Generative AI Success is Determined by 'AI Infrastructure'
As the utilization of generative AI advances from PoC (Proof of Concept) to full-scale deployment, the challenge for companies is shifting from "how to use it" to "how to support it."
The design of "AI infrastructure" (the foundation for running AI in the field), including not only GPU servers and data centers but also edge AI and industrial applications, has become a critical factor determining success.
In this session, NVIDIA's strategic partners, including ASUS, MSI, ADLINK, and Advantech, will take the stage to explain the overall picture of AI infrastructure and practical utilization examples and configurations in actual field environments.
Highlights of this Session (Understand the complete picture of AI infrastructure in 3 days)
This session is structured along the flow of AI implementation, allowing you to comprehensively understand everything from data centers to the edge and industrial applications.
● Day 1: The Potential and Complete Picture of AI (April 8)
- Explanation of the latest AI servers such as NVIDIA DGX/MGX
- Implementation examples utilizing Jetson for facial recognition and bear detection
- Latest trends in Vision AI and Robotics
● Day 2: Infrastructure Design and Edge Collaboration (April 9)
- Evolution of AI data centers and server consolidation
- Utilization of industrial edge AI (ASUS IoT)
● Day 3: Implementation, Operation, and Cost Optimization (April 10)
- TCO reduction through Embedded AI
- Utilization of industrial PCs and Jetson-based products
What You Will Gain from This Session
- The complete picture of AI infrastructure (Data Center to Edge)
- Concepts for configuring and selecting GPU servers/Jetson, etc.
- AI utilization examples running in actual field environments
- Points for operation and cost optimization post-implementation
Target Audience
- Information Systems Department / Infrastructure Personnel
- Persons in charge of AI implementation / DX promotion projects
- Those considering AI utilization in the manufacturing and social infrastructure sectors
- Engineers interested in edge AI and embedded development
[Click here for seminar details]
The content of this seminar includes exclusive information that can only be heard at the venue, making it a must-see for companies considering the introduction of generative AI. Visitor registration is required to attend the seminar.
★Visitor Registration (Free) is available at [URL]
Background: Entering an Era Where Generative AI Success is Determined by 'AI Infrastructure'
As the utilization of generative AI advances from PoC (Proof of Concept) to full-scale deployment, the challenge for companies is shifting from "how to use it" to "how to support it."
The design of "AI infrastructure" (the foundation for running AI in the field), including not only GPU servers and data centers but also edge AI and industrial applications, has become a critical factor determining success.
In this session, NVIDIA's strategic partners, including ASUS, MSI, ADLINK, and Advantech, will take the stage to explain the overall picture of AI infrastructure and practical utilization examples and configurations in actual field environments.
Highlights of this Session (Understand the complete picture of AI infrastructure in 3 days)
This session is structured along the flow of AI implementation, allowing you to comprehensively understand everything from data centers to the edge and industrial applications.
● Day 1: The Potential and Complete Picture of AI (April 8)
- Explanation of the latest AI servers such as NVIDIA DGX/MGX
- Implementation examples utilizing Jetson for facial recognition and bear detection
- Latest trends in Vision AI and Robotics
● Day 2: Infrastructure Design and Edge Collaboration (April 9)
- Evolution of AI data centers and server consolidation
- Utilization of industrial edge AI (ASUS IoT)
● Day 3: Implementation, Operation, and Cost Optimization (April 10)
- TCO reduction through Embedded AI
- Utilization of industrial PCs and Jetson-based products
What You Will Gain from This Session
- The complete picture of AI infrastructure (Data Center to Edge)
- Concepts for configuring and selecting GPU servers/Jetson, etc.
- AI utilization examples running in actual field environments
- Points for operation and cost optimization post-implementation
Target Audience
- Information Systems Department / Infrastructure Personnel
- Persons in charge of AI implementation / DX promotion projects
- Those considering AI utilization in the manufacturing and social infrastructure sectors
- Engineers interested in edge AI and embedded development
[Click here for seminar details]
The content of this seminar includes exclusive information that can only be heard at the venue, making it a must-see for companies considering the introduction of generative AI. Visitor registration is required to attend the seminar.
★Visitor Registration (Free) is available at [URL]